Triple
T27786085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehiya |
E700963
|
entity |
| Predicate | numberOfSeatsInKnesset |
P187524
|
FINISHED |
| Object | 3 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3 | Statement: [Tehiya, numberOfSeatsInKnesset, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSeatsInKnesset Context triple: [Tehiya, numberOfSeatsInKnesset, 3]
-
A.
termNumberInKnessetHistory
Indicates the specific numbered term that a given Knesset session occupies within the overall historical sequence of Knesset terms.
-
B.
knesset
Indicates that an entity is (or was) a member of the Knesset, the Israeli national legislature.
-
C.
seatsWonByYisraelBeiteinu
Indicates the number of parliamentary seats that were won by the political party Yisrael Beiteinu in a given election or legislative body.
-
D.
representedInKnessetFor
Indicates that one entity served as a parliamentary representative in the Knesset on behalf of another entity (such as a political party, district, or group).
-
E.
parliamentarySeatCount
chosen
Indicates the number of seats a party, group, or entity holds in a parliamentary body.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: April 27, 2026, 5:24 p.m.